Gender: Female 
Age: 25-34
Nationality: United States
Ethnicity: White / Caucasian 
Marital status: Married 
First language: English 
Religion: Christian 
Education: Graduate degree
Mother's education: Doctorate or above
Father's education: Doctorate or above
Self-assessed socioeconomic status (1-10): 6
Home: Rent 
Employment: Employed full time
Occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Mother's occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Father's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Hobbies: Listen to hiphop and rap;Exercise;Use social media;Do arts and crafts;Watch sports 
Devices used daily: Laptop;Smartphone;Tablet;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools they would find useful: Other (specify) I would find all of these useful, and I WOULD use all of them. 
Frequency of LLM use: Every day
LLMs used: Claude;Google Gemini;ChatGPT;Perplexity;Microsoft Bing AI 
LLM use cases: Collecting references;Get information about current events;Analyze data;Digital content creation (e.g., creation of social media content);Proofreading/Editing (e.g., grammar, spelling, structure improvements);Brainstorming 
Contexts of LLM use: School/University;Work;Learning;Technical 
Prompt 1: Hallucinations are words or sentences generated by the model that are often nonsensical or grammatically incorrect. Which of the following factors is unlikely to cause hallucinations? A. The model is not given enough context B. The model was trained using nosy or faulty data C. The model was not trained on enough data D. The model is trained with too much data
Prompt 2: What are knowledge representations in the field of AI?
Prompt 3: Which of these applications does NOT use AI? A. Voice assistants that recognize, understand and respond to spoken language. B. Medical system that analyzes patterns in images of tissues to determine whether cancer is present. C. A chatbot on a website that answers predefined questions. D. Face Lock function on mobile phones. 
Prompt 4: What are the key risks of using AI in predictive policing? 
Prompt 5: What does the term "inference" describe in the context of AI systems? 
Prompt 6: Which societal challenge is often mentioned in the context of AI?
Prompt 7: What is the official definition of AI? 
Prompt 8: Which of the following interdisciplinary research fields is also a subfield of AI? A. Blockchain B. Bioinformatics C. Learning Psychology D. Natural language processing 
Prompt 9: Which supervised learning algorithm is present if the algorithm concludes with high probability that you are a pop fan? 
Prompt 10: Which is not a data type? A. Text B. Pictures C. Actions D. Pay 
Comments: Thank you for allowing me to be apart of this study, I thoroughly enjoyed my time and hope to be apart of more in the future.